Data Analyst Engineer

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry. At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations. How does this role contribute to our collective success? We are seeking a skilled Data Engineer to join our dynamic Data & Analytics team, within the Platforms & Transformation group. The Data Engineer will use their technical, analytical and insurance expertise while working as part of project teams to deliver the benefits to AXIS. This is an excellent opportunity to work within great teams across the business on complex, challenging and rewarding projects and initiatives to build towards the success of AXIS. What will you do in this role? Data Analysis & Modelling: Work with the business teams, including senior leaders, to define the data products and use cases along with their data lineage, critical data elements, data glossaries and data quality rules. Work with the Data Architecture team to enable the design of best-in-class current state and future state data flow diagrams Partner with the Data Insights and AI & Innovation teams to design the outputs and workflows for Use Cases and Data Products. Use your industry experience to define the metrics required for projects and solutions. Lead the QA testing of data products and supporting the business teams during UAT. Support the future phases of data products you have delivered in projects once live where you are considered a subject matter expert and have a relationship with the business teams. Data Engineering: Run simple and complex queries to understand existing data structures and relationships, data quality gaps and metric formulas to enable accurate documentation of the current state solutions. Use your advanced Excel skills to reverse engineer complex workbooks with macros and layered formulas to enable modular redesign in our modern data architecture. Build and execute test models against both on-premises SQL Server and Azure Databricks databases. Work closely with the development teams to ensure your data product templates are clearly defined to the specifications required by the application delivery leads. You may also be required to take on additional duties, responsibilities and activities appropriate to the nature of this role. About You: We encourage you to bring your own experience and expertise to the table, so while there are some qualifications and experiences, we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals. What you need to have: Bachelor’s degree in computer science, Information Technology, or a related technical field (or equivalent work experience). 4+ years of experience as a Data Engineer or in a similar data-focused role. Very strong SQL and Excel experience Design experience with star schemas and delta concepts Experience in data modelling in Excel having worked within Data Governance and Data Quality frameworks Strong problem-solving skills with a proactive approach to understanding data quality issues and challenges Experience with large complex projects delivering data products and use cases Excellent verbal and written communication skills. Ability to work effectively in a collaborative team environment. Ability to time manage and work across different priorities. What we prefer you to have: Insurance industry experience. Microsoft SQL Server and Azure Databricks experience Ability to read programming languages Knowledge of Insurance KPIs and metrics and processing within Underwriting, Claims and Pricing Experience taking a key role on Data & Analytics projects Role Factors: In this role, you will typically be required to: This position is a hybrid role and will require mandatory in office presence 3 days per week. What we offer: For this position, we currently expect to offer a base salary in the range of $75,000 - $120,000 CAD (Nova Scotia). Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location. You will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and much more. This posting is for an existing vacancy.

The Data Engineer will collaborate with business teams to define data products, lineage, and quality rules while designing data flow diagrams. They will also perform complex data analysis, reverse engineer Excel workbooks, and build test models to support project delivery.

Candidates must have a bachelor's degree in a technical field and at least 4 years of experience in a data-focused role. Strong proficiency in SQL, Excel, and data modeling within governance frameworks is required.

• Medical plans • Health and wellness programs • Retirement plans • Tuition reimbursement • Paid annual leave

• SQLPreferred
• Problem solvingPreferred
• Data analysisPreferred
• Microsoft ExcelPreferred

Identified from the job description. Confirm important requirements above.

• SQL
• Excel
• Data modeling
• Data engineering
• Data analysis
• Azure Databricks
• SQL Server
• Data governance
• Data quality
• Star schemas
• Delta concepts
• Communication skills
• Problem-solving
• Insurance metrics
• UAT
• QA testing
• Insurance Industry
• Workflow Management
• Data Lineage
• Ethical Standards And Conduct
• Programming Languages
• Acceptance Testing
• Artificial Intelligence
• Data Analysis
• Underwriting
• Customer Service
• Communication
• Computer Science
• Information Technology
• Data Architecture
• Data Engineering
• Data Flow Diagram
• Data Governance
• Data Modeling
• Data Quality
• Data Structures
• Excel Macros
• Experience Design
• Innovation
• Problem Solving
• Key Performance Indicators (KPIs)
• Microsoft SQL Servers
• Operations
• Reinsurance
• Safety Assurance
• SQL (Programming Language)
• Workbooks CRM
• Templates
• Star Schema
• Dynamic Data

• Data & Analytics
• Technology
• Engineering
• Finance & Accounting
• Software
• Data Analyst/Engineer
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

Minimum education

Bachelor’s degree

Minimum experience

4+ years

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week